zeux/calm

• highreadme#1

  Reposition README H1 to clarify calm's identity as an LLM inference engine

  Why:

  CURRENT

  # 😌 calm
  
  This is an implementation of language model inference, aiming to get maximum single-GPU single-batch hardware utilization for LLM architectures with a minimal implementation and no dependencies[^1].

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  # 😌 calm: A Minimal LLM Inference Engine for CUDA/Metal
  
  This project, `calm`, is an implementation of language model inference, aiming to get maximum single-GPU single-batch hardware utilization for LLM architectures with a minimal implementation and no dependencies[^1]. It focuses on CUDA/Metal acceleration for LLMs.

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• mediumabout#2

  Enhance the repository description with more specific keywords

  Why:

  CURRENT

  CUDA/Metal accelerated language model inference

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  Minimal, dependency-free CUDA/Metal accelerated language model (LLM) inference engine for single-GPU utilization.

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• mediumtopics#3

  Add more specific LLM inference topics

  Why:

  CURRENT

  cuda, llm-inference, ml

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  cuda, llm-inference, ml, metal, gpu-inference, language-models, llama-cpp-alternative, transformer-inference

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Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to achieve maximum single-GPU utilization for LLM inference with minimal dependencies?

  you: not recommended
  AI recommended (in order):

  1. vLLM
  2. Hugging Face `transformers`
  3. `bitsandbytes`
  4. TensorRT-LLM
  5. llama.cpp
  6. DeepSpeed-MII

  AI recommended 6 alternatives but never named zeux/calm. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Looking for a fast, low-dependency solution for CUDA or Metal LLM inference.

  you: not recommended
  AI recommended (in order):

  1. llama.cpp (ggerganov/llama.cpp)
  2. MLX (ml-explore/mlx)
  3. TensorRT-LLM (NVIDIA/TensorRT-LLM)
  4. ONNX Runtime (microsoft/onnxruntime)
  5. GGML (ggerganov/ggml)

  AI recommended 5 alternatives but never named zeux/calm. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of zeux/calm?

  pass
  ✓AI named zeux/calm explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts zeux/calm in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named zeux/calm explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo zeux/calm solve, and who is the primary audience?

  pass
  ✓AI named zeux/calm explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?